Online Calculus I Tutoring
Understand limits, derivatives, and their applications while strengthening the algebra needed for introductory calculus.
Start with a concept you would like explained or a question you do not yet know how to begin. A course outline or an attempted solution can help if you have one. We confirm the level, topics and availability before booking. Tutoring sessions are currently offered in English. In-person options in Montréal
Courses by institution
Go directly to examples and revision for your course. Each institution guide explains the other courses and their differences; follow your section’s outline and announced chapters.
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Common difficulties
- Reasoning about limits
- Applying the chain rule to layered expressions
- Turning an applied question into a function
How tutoring can help
You can start with a limit, a graph or a derivative you do not understand. Your tutor can help you separate an algebra difficulty from a calculus idea: for example, distinguish the value of a function from its limit, or identify the outermost operation before choosing a derivative rule. Work through one example together, then try a similar question and explain why your first step fits. For exam preparation, choose mixed questions from the chapters your instructor has announced and revisit the decision that caused an error.
A zero derivative does not prove a maximum or minimum
Consider the function , where is real. Its derivative measures its local rate of change. At , that derivative is zero. Does the function have a local maximum or minimum there?
Work through the reasoning
Differentiate to get . This derivative is positive for both negative and positive nonzero , so the function increases on each side of zero. It passes through without turning. Therefore zero is neither a local maximum nor a local minimum. A zero derivative identifies a point to investigate; the change in sign of the derivative tells us whether a differentiable function turns there. In an optimization problem, also check relevant endpoints and points where the function is defined but not differentiable.
Prepare for your lesson
Bring a curve-sketching or optimization question, even if you have not started. If you have work to review, show the derivative calculation separately from the sign analysis. Your tutor can help you explain what happens on either side of each candidate point before deciding whether it is an extremum.
An original Nablio example, not a university exam question. Your current course outline determines the material to focus on.
A focused Calculus I revision path
Start where your reasoning breaks down: algebra, limits or derivative rules. This sequence uses free Nablio lessons; it is not a complete course or a prescribed syllabus order.
- Check the algebra first
Try the self-checks on fractions, powers and functions; review only the operations that interrupt your calculus work.
- Separate the domain from the limit
Work through the cancellation example, then explain why a missing function value can coexist with a finite limit.
- Choose a derivative rule before calculating
Name the outermost operation, attempt the questions, and check whether each inner derivative or product term survived.
- Mix limits and derivatives without hints
Attempt the questions that match your assessment, compare the explained solutions, then redo a missed step without notes.
At each step: read the example, attempt a question before opening its solution, then redo a missed step without notes. Finish by applying the method to permitted practice from your own course.
Free study guides and practice
Concordia MATH 203 Midterm Practice Mock
Nine original multi-part questions on selected material from weeks 1–6 of the Fall 2026 course, with a question paper, separate explained solutions and a suggested marking guide out of 100.
Marginal Cost: From an Estimate to an Exact Change
Distinguish a marginal rate from an exact cost increase. Compare an estimate with a shaded-area graph, recover total cost by integration and explore average unit cost.
Derivative Rules: Choose the First Step
Choose the first derivative rule in three core questions, then explore an optional logarithmic-differentiation example and retry when both base and exponent vary.
Demand Elasticity and Revenue
Connect price, demand and revenue with a worked model, two diagrams and three explained practice questions. Learn when elasticity gives a local prediction and when to compare exact revenues.
Cancelling Factors: Why the Missing Input Stays Missing
Learn why cancelling a factor preserves an excluded input and distinguish a function value from a limit, with a worked example and three self-checks for Concordia MATH 203 and McGill MATH 140.
Before Calculus: 10 Algebra Skills You Should Know
Ten essential algebra skills with worked examples, common mistakes and self-checks: a practical starting point before university or CEGEP calculus.
Concordia MATH 203 Readiness Checklist
Check your algebra, functions and trigonometry before MATH 203 with original questions, explained answers and a focused review plan.
Implicit Differentiation and Related Rates
Connect changing quantities before differentiating. Five worked examples and eight exercises explain implicit slopes, filling cones, shadow speeds and angular tracking rates.
Calculus I Practice for Limits and Derivatives
Eighteen questions on limits and derivatives, optimization, L’Hôpital’s rule and linearization, with hints and explained solutions. Includes a two-example workshop on tangent estimates and differentials.
Sketch a rational function without crossing its domain breaks
Build a three-branch rational-function graph from its domain, one-sided limits and derivative signs. Compare local and global extrema, diagnose false inflection points and try two explained checks.
IVT, MVT and extreme values: check the assumptions first
Separate existence, uniqueness and attained extrema. Two worked examples and four exercises explain when calculus theorems apply and what their conclusions actually prove.
What to practise
Exam preparation can emphasize derivative fluency, interpretation, optimization, and related-rate problems.